3reate

In a world of distractions; creativity and innovation change the direction of society. The future isn’t built by the loudest voices in the room; it’s built by doers: the artists who code, the scientists who sculpt, and the technologists who dream. 3reate goes beyond headlines providing the blueprint for the future. We bring you weekly deep dives and curated interviews with the hidden architects of the innovation economy. Creativity is your ultimate advantage.Support the pod:https://ko-fi.com/3reatehttps://patreon.com/3reateWatch Live on YouTube:https://www.youtube.com/@3reateWatch Live on Twitch:https://www.twitch.tv/3reateJoin on Discord:https://discord.gg/vS4vqVkKMmListen on Apple Podcasts:https://podcasts.apple.com/us/podcast/3reate/id1723426314Listen on Spotify:https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPFOur intro music: “Into the night” by @prazkhanal | Our outtro music: “Filler Drop” by @keyframeaudio

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Episodes 92

Why You Can’t Scale (AI) Creator Culture
2d ago · 58:42
We have discord now! https://discord.gg/vS4vqVkKMm Test Digicity: City Builder: https://testflight.apple.com/join/ueaq8JD1 The way we structure software organizations is fundamentally incompatible with the reality of building alongside AI. While most teams treat generative models as glorified auto-complete, the industry is shifting rapidly toward fully agentic execution—and traditional engineering pipelines are cracking under the pressure. In this episode, we break down real-world building in public, starting with a hands-on look at game scenario mechanics, UI scaling challenges, and multi-dev
Ego-driven logic: The truth about AI adoption
9d ago · 50:31
We have discord now! https://discord.gg/vS4vqVkKMm Test Digicity: City Builder: https://testflight.apple.com/join/ueaq8JD1 We often confuse emotional reactions with what’s really driving us: ego. If you're building software, art, or content, understanding this distinction changes how you take criticism and ship your work. This week on the 3reate podcast, Andrew and Nathan explore the harsh realities of being a creative in a corporate-structured world. Andrew introduces his new iOS game, DigiCity: City Builder, built for the ongoing Shipaton competition, and breaks down the economic mechanics d
BuildInPublic Win Real Money – Shipaton.com
23d ago · 33:09
Most developers leveraging AI code assistants are burning through expensive tokens only to end up with buggy builds and severe architectural drift. In this episode, Andrew and Nathan break down an actionable, multi-model approach to AI application development. Learn how combining Claude Opus for initial deep architectural planning with Fable for critique and Sonnet for execution can cut your AI development costs by roughly 60% while drastically reducing bugs. We also take a deep dive into the RevenueCat Shipathon—a two-month challenge encouraging creators to build, launch, and monetize zero-to
Everyone’s a Billionaire, Now What?
1mo ago · 34:53
Imagine a near future where software self-improves, physical systems are manufactured by autonomous robotics, and the ultimate constraint on human progress is no longer physical labor, but imagination. What happens to competition, work, and human motivation when basic scarcity begins to disappear? In this episode, Andrew and Nathan dive into a grounded, pragmatic discussion built around Andrew’s essay, “Everyone’s a Billionaire. Now What?” Bypassing corporate AI tropes and utopian promises, they explore the real-world trajectory of self-referential software and its practical expansion into cir
Open Sauce 2026: Why AI coding tools fail solo teams
1mo ago · 49:13
Building software with AI feels effortless—until you try to ship it. Most developer-focused AI tools are built by engineers for engineers, leaving solo founders and non-technical teams trapped in a maze of terminal prompts, unscalable code bases, and hidden security risks. Fresh off exhibiting at Open Sauce 2026, Nathan and Andrew dissect the massive gap between building impressive maker projects and executing viable businesses. While the convention floor showcased incredible technical feats, it highlighted a systemic issue in modern product development: brilliant ideas frequently stall due to
Nathan at Open Sauce 2026 July 18 & 19 THIS WEEKEND
1mo ago · 3:07
Nathan will be at Open Sauce 2026 July 18 & 19th with his Open tDCS: https://github.com/nathanfu88/opentdcs! Academics currently face massive friction when researching transcranial direct current stimulation (tDCS)—everyone uses different parameters, leading to conflicting conclusions and disorganized data. Open source science needs a standard baseline, and that's exactly what we're trying to build. This weekend, Nathan is exhibiting at Open Sauce 2026 in San Mateo to showcase the "Clockwork Orange" tDCS helmet. While the original plan was to have the device live and active for testing, safety
Why AI Data Centers Aren’t The Real Problem
1mo ago · 44:40
Is the panic over AI data centers actually justified, or are we worried about the wrong things? Andrew and Nathan broadcast from a struggling Silicon Valley connection to dismantle the current state of AI infrastructure and corporate strategy. We dive deep into Google's confusing pivot away from developer-focused enterprise tools like Antigravity toward consumer-facing AI, questioning if a $20-per-month B2C model is actually sustainable for the compute required. The conversation then shifts to the recent New York bill pausing AI data centers. We unpack why electrical grids and water usage are
Stop Optimizing Code for Humans
1mo ago · 48:50
This week, we strip away the marketing fluff to look at the practical reality of outcome-driven software development. We trace how software abstraction has evolved from raw Assembly language down to modern multi-agent architectures that coordinate dozens of concurrent tasks to isolate and fix system bugs in a matter of minutes. We dive deep into the pragmatic trade-offs of modern engineering: The Agent Calculus: Evaluating the real economics of running autonomous sub-agent loops against scaling traditional enterprise engineering teams. Self-Healing Log Infrastructure: Implementing automated QA
Did we predict AI correctly? 2026 predictions – Mid Year Check-in
1mo ago · 51:51
Every tech executive promised a world-ending AI revolution by mid-2026, but raw production data tells a completely different story. The technical landscape is drowning in marketing noise, and pragmatic builders are left dealing with the structural friction of overhyped systems. In this mid-year recap, we bypass corporate tech fluff to run a brutal code-review on our 2026 predictions across tech, science, and art. We break down the exact mechanics behind the stealth degradation of Anthropic’s Fable model—revealing how safety classifiers quietly offload heavy processing to older frameworks while
Broken Tech Supply: Why tech prices are soaring
2mo ago · 53:43
Tech giants want you to believe that rising hardware and software costs are the natural side effects of an inevitable AI revolution. They are lying. Apple's recent 20% price hike on MacBooks and iPads is a symptom of a deeper structural failure: a consolidated semiconductor supply chain controlled by a tight global monopoly. When a couple of manufacturing giants dictate memory allocation, independent builders and developers pay the tax. Speculative data center proposals are booking out future fabrication capacity based on promissory notes, ignoring the hard physical realities of an aging energ
Stop Outsourcing Risk. (Why open systems break)
2mo ago · 59:22
Every builder feels the friction. We are transitioning out of a highly predictable system into a technical landscape dominated by hyper-specialized bottlenecks, bloated bureaucracies, and compounding architectural debt. Legacy frameworks are breaking down because current leadership models are fundamentally incompatible with reality, leaving pragmatic engineers trapped in a cycle of algorithmic noise and unverified promises. This episode strips away the hype-beast tech tropes to focus on the raw mechanics of modern execution. We map the historical trajectory of open frameworks—from their decent
The Anthropic Reality Check: Claude Fable 5
2mo ago · 46:34
The corporate marketing machine claims Anthropic's new Claude Mythos 5 and Claude Fable 5 architectures change everything. Builders know better. In this episode, we strip away the high-energy tech fluff to pressure-test Claude Fable 5 against actual, complex development workflows, bypassing synthetic benchmarks to examine the raw execution mechanics. Andrew walks through a brutal 20-hour case study using a massive automated agent swarm to refactor a proprietary coding platform interface—burning over 10 million tokens in the process. We break down exactly where Fable outperforms older tiers (sp
Replace Operations Consulting With Fractional Operators – Christina Twitchell CEO of CLT Collective
2mo ago · 49:43
When a tech startup hits rapid growth, the operational foundations almost always begin to crack. Founders frequently over-index on shiny enterprise software or push teams to experiment blindly with AI, creating a fragmented mess of disconnected workflows. The result isn't true innovation—it's operational debt and AI vibe slop. This episode strips away the corporate tech fluff to deliver an intensely practical breakdown of startup architecture with Christina Twitchell, founder and CEO of Her Wealth Mindset and CLT Collective. We dive deep into why traditional operations consulting handoffs fail
The AI Data Center Lie
2mo ago · 35:30
The conversation around artificial intelligence always seems to center on a singular anxiety: our power grid is going to collapse under the weight of AI data centers. But what if the environmental panic is just a distraction from a much deeper structural failure? In this episode, we strip away the surface-level hysteria regarding data center liquid cooling systems and energy consumption. While critics compare data centers to toxic manufacturing plants, the real friction lies in our legal and economic architecture. We are attempting to govern a 21st-century information economy using 20th-centur
The UFO Disclosure: What Everyone Gets Wrong
3mo ago · 1:15:26
The Department of Defense—recently rebranded as the Department of War—launched a public repository detailing decades of unexplained anomalous phenomena (UAP). This isn't corporate tech fluff or sensationalized clickbait; it is millions of pages of raw, institutional data capturing objects that appear to bend the known laws of physics. In this episode of 3reate, we bypass the typical screaming media hype to look at the engineering reality behind these tranches. If these crafts are genuinely instantaneous accelerators capable of crossing water-to-air boundaries without drag, our foundational phy
Unpacking AI Hype: Just Replace the word AI with Computer
3mo ago · 31:12
Tech layoffs are spiking again, and executives are pointing fingers at AI. It’s a convenient narrative designed to cover up years of reckless over-hiring and structural debt. If you are tired of the corporate fluff and unverified "trust us, bro" capabilities coming out of OpenAI, Anthropic, and Google, this breakdown is your intellectual palate cleanser. We introduce a simple philosophical frame to instantly de-hype any narrative: replace the word "AI" with "computer" and see if the panic holds up. From there, we expose the mechanics of automated code vulnerability scanning. While tech giants
We Are All AI: How AI Is DESTROYING Innovation
3mo ago · 25:19
In this episode, we tackle the growing exhaustion surrounding forced AI integration. From sleep apps that confidently hallucinate your biometrics to the broader societal impacts of online fabrication and clickbait, we explore exactly what happens when technology gets in the way of actual utility. We also look at the human side of the equation: why do comfortable teams stop innovating? Why has a culture of perfectionism replaced the scientific method of trial, error, and iteration? By drawing parallels between the high-stakes problem-solving of early rocket science and today's software developm
The Real AI Bottleneck Isn’t Your Code
3mo ago · 37:59
Is code really holding your team back, or is it your organizational structure? With AI empowering individuals to build faster than ever, traditional tech bottlenecks are rapidly disappearing. But as individual output skyrockets, a new problem emerges: keeping everyone moving cohesively in the same direction. In this episode, Andrew and Nathan dive deep into why the real AI bottleneck isn't your code—it's your people. They unpack the pitfalls of modern management, the death of the traditional product roadmap, and why context is the most valuable currency when working with both human developers
AI Destroyed Social Media and How You Fight Back – Devin Gaffney of Graze Social
3mo ago · 1:05:03
As AI-generated noise floods our social feeds, big platforms are effectively throwing up their hands and declaring "slop bankruptcy." Today, we explore the friction between technology and society with Devin Gaffney, CEO of Graze Social, who is fundamentally rewiring the attention economy. We dive into the architecture of outrage, the illusion of "credible exit" in federated networks, and how his company, Graze Social, acts as a "Photoshop for algorithms." You'll learn why platforms are designed to trigger "forest fires" of engagement, and how empowering individual users to design and monetize
The AI Mindset Mistake: Why 90% Fail (And How To Win)
4mo ago · 56:41
We tackle the elephant in the room: Data Governance. Andrew and Nathan sit down to unpack the real "AI Mindset" necessary for the modern creator, developer, and executive. We move beyond the hype of flawless AI automation and dig into the messy reality of the software development lifecycle. From fixing memory management crashes caused by AI-written code to understanding why an LLM needs you to hold its hand through every context shift, we explore what it actually takes to build reliable tools alongside artificial intelligence. Is your proprietary data actually as sacred as you think it is? We
The End of the LLM and What’s Next – Ian Hamilton CEO of Synthetic Cognition
4mo ago · 1:02:54
Right now, the tech world is caught in an endless loop of throwing massive compute power at Large Language Models, hoping brute force will magically spark Artificial General Intelligence (AGI). But what if the foundational computing architecture is entirely wrong? In this episode, we sit down with Ian Hamilton, CEO of Synthetic Cognition Labs, who is walking away from standard models to build true AGI. Ian dismantles complex ideas, detailing why current AI is essentially faking memory and why the path forward lies in hyperdimensional computing. By exploring the friction between biology and tec
Why Hiding Your Mistakes Destroys Innovation
4mo ago · 28:16
What do a broken toilet on a lunar spacecraft and the catastrophic Chernobyl nuclear disaster have in common? They both serve as ultimate masterclasses in how we handle complex systems and critical information. In this episode, Andrew and Nathan dive into a recent NASA launch, highlighting the fascinating reality of troubleshooting space plumbing on a live, global broadcast. While it might seem embarrassing, that baseline of absolute transparency is exactly why humanity can successfully reach the moon. We juxtapose NASA's open problem-solving with the fatal secrecy of the Soviet Union's nuclea
Social Media is Legally Bad Now
5mo ago · 28:06
Has your casual scrolling turned into an unbreakable habit? You're not alone, and it's certainly not by accident. Recent landmark court rulings have declared that platforms like Meta and YouTube intentionally design their systems to be highly addictive. The era of innocent social media is officially over. In this episode, we dive deep into the legal and psychological reckoning currently facing the tech industry. We explore the hidden architecture of recommendation algorithms, detailing how they trap users in endless echo chambers, prioritize watch-time over truth, and fuel bizarre conspiracy t
The AI Layoff Lie And What’s Actually Happening
5mo ago · 31:21
We dismantle the AI layoff excuse. We explore why executives who are separated from the daily work are using artificial intelligence as a smokescreen for over hiring and poor strategy. From the differences between conversational and agentic AI to a breakdown of the abrupt Digg.com beta shutdown, we reverse-engineer the realities of the modern tech ecosystem. We go beyond the headlines to provide a blueprint for the future. You'll learn why AI is an amplifier that requires rigorous human processes, not a magic bullet that can run a company on autopilot. We explain why the practitioner is more v
When Do We Burn It All Down?
5mo ago · 45:59
We’ve engineered a world of unparalleled comfort, but at what cost? From the stagnation of the US healthcare system to the fragility of our agricultural crops, our societal resistance to "deviance" is quietly setting us up for failure. In this episode, we unpack the dangerous illusion of monopolies and monocultures. We trace how systems originally designed for massive "zero-to-one" growth—like the national power grid or the tech dominance of Intel and AMD—become vertically integrated traps that stifle true innovation. When the switching costs feel too high, it is easy to stay on a sinking ship

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3reate

Episodes 92

Why You Can’t Scale (AI) Creator Culture

Ego-driven logic: The truth about AI adoption

BuildInPublic Win Real Money – Shipaton.com

Everyone’s a Billionaire, Now What?

Open Sauce 2026: Why AI coding tools fail solo teams

Nathan at Open Sauce 2026 July 18 & 19 THIS WEEKEND

Why AI Data Centers Aren’t The Real Problem

Stop Optimizing Code for Humans

Did we predict AI correctly? 2026 predictions – Mid Year Check-in

Broken Tech Supply: Why tech prices are soaring

Stop Outsourcing Risk. (Why open systems break)

The Anthropic Reality Check: Claude Fable 5

Replace Operations Consulting With Fractional Operators – Christina Twitchell CEO of CLT Collective

The AI Data Center Lie

The UFO Disclosure: What Everyone Gets Wrong

Unpacking AI Hype: Just Replace the word AI with Computer

We Are All AI: How AI Is DESTROYING Innovation

The Real AI Bottleneck Isn’t Your Code

AI Destroyed Social Media and How You Fight Back – Devin Gaffney of Graze Social

The AI Mindset Mistake: Why 90% Fail (And How To Win)

The End of the LLM and What’s Next – Ian Hamilton CEO of Synthetic Cognition

Why Hiding Your Mistakes Destroys Innovation

Social Media is Legally Bad Now

The AI Layoff Lie And What’s Actually Happening

When Do We Burn It All Down?

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Episodes 92

Why You Can’t Scale (AI) Creator Culture

Ego-driven logic: The truth about AI adoption

BuildInPublic Win Real Money – Shipaton.com

Everyone’s a Billionaire, Now What?

Open Sauce 2026: Why AI coding tools fail solo teams

Nathan at Open Sauce 2026 July 18 & 19 THIS WEEKEND

Why AI Data Centers Aren’t The Real Problem

Stop Optimizing Code for Humans

Did we predict AI correctly? 2026 predictions – Mid Year Check-in

Broken Tech Supply: Why tech prices are soaring

Stop Outsourcing Risk. (Why open systems break)

The Anthropic Reality Check: Claude Fable 5

Replace Operations Consulting With Fractional Operators – Christina Twitchell CEO of CLT Collective

The AI Data Center Lie

The UFO Disclosure: What Everyone Gets Wrong

Unpacking AI Hype: Just Replace the word AI with Computer

We Are All AI: How AI Is DESTROYING Innovation

The Real AI Bottleneck Isn’t Your Code

AI Destroyed Social Media and How You Fight Back – Devin Gaffney of Graze Social

The AI Mindset Mistake: Why 90% Fail (And How To Win)

The End of the LLM and What’s Next – Ian Hamilton CEO of Synthetic Cognition

Why Hiding Your Mistakes Destroys Innovation

Social Media is Legally Bad Now

The AI Layoff Lie And What’s Actually Happening

When Do We Burn It All Down?